ARCS Chatbot Study: Physiology Education Outcomes for 75 University Students

75 university students participated in a study comparing traditional teaching, the ARCS motivation model, and an ARCS-integrated chatbot for physiology education. Quantitative results show the ARCS+Chatbot group had significantly higher post-test academic achievement than both other groups. The dataset, authored by Yasin Ali Cimen and last updated in 2026, includes pretest/post-test scores, cognitive load, and technology acceptance measurements.

Use Cases

• Compare the efficacy of chatbot-assisted learning versus traditional methods based on academic achievement scores.
• Analyze the relationship between motivational design (ARCS model) and cognitive load based on the study's measurements.
• Evaluate technology acceptance for educational chatbots based on perceived usefulness and ease-of-use metrics.
• Conduct a meta-analysis on mixed-methods educational interventions using the provided quantitative and qualitative findings.

Strengths

• Dataset is based on a controlled study with 75 participants across three distinct intervention groups.
• Includes both quantitative (academic achievement, cognitive load, TAM) and qualitative (thematic analysis of interviews) data points.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse and adaptation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The 62.0 KB file size suggests a limited scope, likely containing summary or aggregated results rather than raw individual-level data.

Provenance

Source

Yasin Ali Cimen via figshare

Collection Method

Data collected from a mixed-methods study involving university-level physiology students, using pre/post-tests, surveys, and interviews.

Freshness

Last updated 2026-05-28 04:52:50; freshness should be verified.